SPOKECHAIN
Technical Architecture

interface DemandAnalysis {
  workflowId: string;
  demandScore: number; // 0-1 scale
  peakHours: number[];
  trendDirection: 'increasing' | 'decreasing' | 'stable';
  confidence: number;
}

class MailmanAnalyzer {
  async analyzeDemand(haloAddress: string): Promise<DemandAnalysis> {
    const historicalData = await this.getHistoricalUsage(haloAddress);
    const currentTrends = await this.getCurrentTrends(haloAddress);
    
    const demandScore = this.calculateDemandScore(historicalData, currentTrends);
    const peakHours = this.identifyPeakHours(historicalData);
    
    return {
      workflowId: this.extractWorkflowId(haloAddress),
      demandScore,
      peakHours,
      trendDirection: this.analyzeTrend(currentTrends),
      confidence: this.calculateConfidence(historicalData.length)
    };
  }
  
  private calculateDemandScore(historical: UsageData[], current: TrendData[]): number {
    const baseScore = historical.reduce((acc, data) => acc + data.utilization, 0) / historical.length;
    const trendMultiplier = current.length > 0 ? current[current.length - 1].momentum : 1;
    
    return Math.min(1, baseScore * trendMultiplier);
  }
}

interface SPANNERManifold {
  // Filament Management
  registerFilament(filament: FilamentConfig): Promise<string>;
  getFilamentStatus(filamentId: string): Promise<FilamentStatus>;
  
  // Cross-Filament Communication
  sendMessage(from: string, to: string, payload: any): Promise<void>;
  subscribeToMessages(filamentId: string, handler: MessageHandler): void;
  
  // Economic Integration
  calculateXPRewards(workflowId: string, metrics: PerformanceMetrics): Promise<XPReward>;
  distributeRewards(rewards: XPReward[]): Promise<DistributionResult>;
  
  // Health Monitoring
  performHealthCheck(): Promise<SystemHealth>;
  getNetworkMetrics(): Promise<NetworkMetrics>;
}

class SPANNEROrchestrator implements SPANNERManifold {
  private filaments: Map<string, FilamentInstance> = new Map();
  private messageQueue: MessageQueue = new MessageQueue();
  private economicEngine: EconomicEngine = new EconomicEngine();
  
  async calculateXPRewards(workflowId: string, metrics: PerformanceMetrics): Promise<XPReward> {
    const demandAnalysis = await this.mailman.analyzeDemand(workflowId);
    const marketConditions = await this.auctioneer.getMarketConditions();
    
    return this.economicEngine.calculateReward({
      workflowId,
      metrics,
      demandScore: demandAnalysis.demandScore,
      marketMultiplier: marketConditions.xpMultiplier
    });
  }
}

interface XPCalculationParams {
  baseWorkHours: number;
  qualityScore: number; // 0-1
  demandMultiplier: number;
  marketConditions: MarketConditions;
  networkContribution: number;
}

class EconomicEngine {
  private readonly BASE_XP_RATE = 100;
  private readonly QUALITY_MULTIPLIER = 0.5;
  private readonly DEMAND_SENSITIVITY = 0.3;
  private readonly CONTRIBUTION_MULTIPLIER = 0.2;
  private readonly MIN_REWARD_RATIO = 0.8;

  calculateXPReward(params: XPCalculationParams): XPReward {
    const {
      baseWorkHours,
      qualityScore,
      demandMultiplier,
      marketConditions,
      networkContribution
    } = params;
    
    // Base calculation
    const baseXP = baseWorkHours * this.BASE_XP_RATE;
    
    // Quality adjustment (0-50% bonus)
    const qualityBonus = baseXP * (qualityScore * this.QUALITY_MULTIPLIER);
    
    // Demand-based adjustment
    const demandAdjustment = baseXP * (demandMultiplier - 1) * this.DEMAND_SENSITIVITY;
    
    // Market conditions factor
    const marketAdjustment = baseXP * marketConditions.volatilityFactor;
    
    // Network contribution bonus
    const contributionBonus = baseXP * (networkContribution * this.CONTRIBUTION_MULTIPLIER);
    
    const totalXP = Math.max(
      baseXP + qualityBonus + demandAdjustment + marketAdjustment + contributionBonus,
      baseXP * this.MIN_REWARD_RATIO
    );
    
    return {
      totalXP: Math.round(totalXP),
      breakdown: {
        base: baseXP,
        quality: qualityBonus,
        demand: demandAdjustment,
        market: marketAdjustment,
        contribution: contributionBonus
      },
      timestamp: Date.now(),
      confidence: this.calculateConfidence(params)
    };
  }
  
  private calculateConfidence(params: XPCalculationParams): number {
    // Confidence based on data quality and market stability
    const dataQuality = Math.min(1, params.qualityScore + 0.3);
    const marketStability = 1 - Math.abs(params.marketConditions.volatilityFactor);
    
    return (dataQuality + marketStability) / 2;
  }
}